Journal of Electrical Engineering and Technology

  • 제1권4호
  • /
  • Pages.466-471
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  • 2006
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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Optimum Design of BLDC Motor for Cogging Torque Minimization Using Genetic Algorithm and Response Surface Method

  • Jeon, Mun-Ho (Department of Electrical Engineering, Hoseo University) ;
  • Kim, Dong-Hun (School of Electrical Engineering & Computer Science in Kyungpook National University) ;
  • Kim, Chang-Eob (Department of Electrical Engineering, Hoseo University)
  • 발행 : 2006.12.01
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초록

This raper presents a new optimization method combining the genetic algorithm with the response surface method for the optimum design of a Brushless Direct Current motor. The method utilizes a regression function approximating an objective function and the window moving and zoom-in method so as to complement disadvantages of both the genetic algorithm and response surface method. The results verify that the proposed method is powerful and effective in reducing cogging torque by optimizing only a few decisive design factors compared with the conventional stochastic methods.

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참고문헌

  1. Der-Ray Huang, Tai-Fa Ying, Shyh-Jier Wang, and Chi-mou Zhou, 'Cogging Torque Reduction of a Single-phase Brushless DC Motor,' IEEE Transactions on Magnetics, vol. 34, no. 4, pp. 2075-2077, 1998 https://doi.org/10.1109/20.706802
  2. C. Breton, J. Bartolome, J. A. Benito, G. Tassinario, I. Flotats, C. W. Lu, and B. J. Chalmers, 'Influence of Machine Symmetry on Reduction of Cogging Torque in Permanent-Magnet Brushless Motors,' IEEE Transactions on Magnetics, vol. 36, no. 5, pp. 3819-3823, 2000 https://doi.org/10.1109/20.908386
  3. Ki-Jin Han, Han-Sam Cho, Dong-hyeok Cho, and Hyun-Kyo Jung, 'Optimal Core Shape Design for Cogging Torque Reduction of Brushless DC Motor Using Genetic Algorithm,' IEEE Transactions on Magnetics, vol. 36, no. 4, pp. 1927-1931,2000 https://doi.org/10.1109/20.877824
  4. Dong-Hun Kim, K. S. Ship and J. K. Sykulski, 'Applying continuum design sensitivity analysis combined with standard EM software to shape optimisation in magnetostatic problems,' IEEE Transactions on Magnetics., vol. 40, pp. 1156-1159, 2004 https://doi.org/10.1109/TMAG.2004.824604
  5. G. Fuat Uler, Osama A. Mohammed, and ChangSeop Koh, 'Utilizing Genetic Algorithms for the Optimal Design of Electromagnetic Devices,' IEEE Transactions on Magnetics, vol. 30, no. 6, pp. 4296-4298, 1994 https://doi.org/10.1109/20.334066
  6. Yasushi Fujishima, et al., 'Multiobjective Design Optimization of Permanent Magnet Synchronous Motor for Railway Vehicle,' CEFC record, p. 29, 2004
  7. X. K. Gao, T. S, Low, Z. J. Liu, and S. X. Chen, 'Robust Design for Torque Optimization Using Response Surface Methodology,' IEEE Transactions on Magnetics, vol. 38, no. 2, pp. 1141-1144,2002 https://doi.org/10.1109/20.996292

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